What are the best algorithms for achieving high accuracy in machine learning?

What are the best algorithms for achieving high accuracy in machine learning?

Some of the best algorithms for high accuracy include Random Forest, Gradient Boosting, and Support Vector Machines.

Can you explain why Random Forest is effective?

Random Forest is effective because it reduces overfitting by averaging multiple decision trees, improving generalization.

What about Gradient Boosting? How does it work?

Gradient Boosting builds trees sequentially, where each new tree corrects errors made by the previous ones, enhancing accuracy.

Are there specific datasets where these algorithms perform better?

Yes, Random Forest works well with large datasets, while Gradient Boosting excels in datasets with complex patterns.